Welcome to TEN! TEN stands for Transformative Extensions Network, is a voice agent framework to create conversational AI.
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TEN framework offers the following advantages:
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Native Support for High-Performance, Real-Time Multimodal Interactions
If your AI applications involve complex audio-visual scenarios, TEN is your go-to solution. It offers high performance and low latency, with extensive optimization of interactions between various extensions to ensure efficient development of AI applications.
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Supports Multiple Languages and Platforms
Developers can create modular and reusable extensions using various programming languages, such as C++, Go, and Python (with future support for JavaScript/TypeScript). Moreover, the TEN framework runs seamlessly across platforms, including Windows, Mac, Linux, and mobile devices.
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Edge-Cloud Integration
Through the TEN framework, extensions deployed across edge and cloud environments can be easily combined to create diverse applications and scenarios. For privacy-sensitive edge deployments, small models leverage local compute power for reduced costs and lower latency, while cloud-based large models can be integrated for an optimal balance of cost and performance.
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Flexibility Beyond Model Limitations
The TEN framework allows for the creation of complex AI applications that transcend the limitations of large models alone. Agents can be easily constructed to meet a wide range of needs using a simple drag-and-drop, responsive programming approach. TEN also facilitates the integration of AI with audio-visual tools, databases, monitoring systems, RAG, and more.
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Real-Time Agent State Management
TEN has the ability to manage real-time agent states, enabling dynamic responsiveness and adjustment of agent behavior in real time.
Ready to see TEN in action? Experience a real-world AI Agent powered by the TEN framework at agent.theten.ai.
To kickstart your AI agent development journey, explore our dedicated TEN Agent repository. It's packed with resources to help you get started quickly and efficiently.
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